jcrawl4ai-mcp-server
jcrawl4ai-mcp-server is a Spring Boot-based MCP server (stdio transport) that exposes MCP tools to call a Crawl4ai API: it can start a crawl for a set of URLs (returning a task ID / JSON result) and fetch crawl results by taskId.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
TLS enforcement is not specified; the sample base URL uses http:// which may imply insecure transport if followed as-is. Auth uses a static API token but the README provides no information on scope granularity, rotation, or whether tokens are ever logged. Dependency hygiene cannot be assessed from the provided content; Spring Boot/Hutool/Spring AI are referenced without version details or CVE posture. Review logging configuration because the README points to a log file path (./target/mcp-stdio-server.log), but it does not state whether secrets are redacted.
⚡ Reliability
Best When
You want an MCP tool interface for Crawl4ai (crawl + task retrieval) and can securely provide base URL + API token to the server.
Avoid When
You cannot verify how errors/timeouts are handled or where logs/token values may be written; or you require well-specified rate limits, retry semantics, and pagination for robust agent operation.
Use Cases
- • Integrate a web crawling workflow into an MCP-capable agent
- • Start Crawl4ai crawl jobs from an agent and later retrieve results
- • Automate structured extraction pipelines that depend on crawl results
Not For
- • High-sensitivity environments without reviewing token handling/logging and Crawl4ai API security model
- • Workflows requiring strict guarantees about crawl politeness, robots.txt behavior, or output validation (not specified in the README)
Interface
Authentication
Authentication is delegated to the upstream Crawl4ai server using a static API token configured in application.properties. The README does not describe token scope granularity or rotation guidance.
Pricing
No pricing information for this MCP wrapper is provided; costs may depend on the upstream Crawl4ai service.
Agent Metadata
Known Gotchas
- ⚠ The MCP server is configured for stdio with a fixed timeout (60 in the sample). If upstream crawl jobs are slow, agents may need to poll task results; retry/polling guidance is not documented.
- ⚠ Tool parameters (strategy, output_format, max_depth, urls/taskId) are not fully specified (types, allowed values, limits).
- ⚠ No rate-limit behavior or backoff strategy is described for either the MCP server or the upstream Crawl4ai API.
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Scores are editorial opinions as of 2026-04-04.